Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …

The words we use to talk about the current epidemiological crisis on social media can inform
us on how we are conceptualizing the pandemic and how we are reacting to its …

In emergencies and disasters, large numbers of people require basic needs and medical
attention. In such situations, online social media comes as a possible solution to aid the …

Natural language processing (NLP) is a promising tool for collecting data that are usually
hard to obtain during extreme weather, like community response and infrastructure …

Purpose This paper aims to create a better understanding of the challenges posed by work
from home (WFH) during the ongoing COVID-19 pandemic, to investigate the public …

Social media plays a vital role in analyzing the actual emotions of people after and during a
disaster. Sentiment analysis is a method to detect a pattern from the emotions and feedback …

Social media is widely used in emergencies, but the nature of the communication is poorly
understood. We employed unsupervised topic modelling and sentiment analysis to analyse …

Investigating and classifying sentiments of social media users (eg, positive, negative)
towards an item, situation, and system are very popular among researchers. However, they …